Skill UI

Automate SEO research directly within Claude Code using Ahrefs: pull backlink lists, keyword matrices, domain authority histories, organic rankings, and batch URL stats for faster audits and competitive tracking.

Automate SEO research directly within Claude Code using Ahrefs: pull backlink lists, keyword matrices, domain authority histories, organic rankings, and batch URL stats for faster audits and competitive tracking.

A comprehensive skill for analyzing Non-Fungible Tokens (NFTs). It fetches collection metadata from APIs (like OpenSea), parses trait attributes, and calculates advanced rarity scores using multiple algorithms (e.g., rarity_score, information entropy). Use this tool to rank tokens by uniqueness, compare specific NFTs, or analyze the distribution of traits within an entire collection, outputting results in JSON or CSV format. Ideal for crypto research and market due diligence.

A comprehensive toolkit for App Store Optimization (ASO), designed to boost mobile app visibility and ranking on both Apple App Store and Google Play Store. This guide covers end-to-end strategies, including deep keyword research, competitor analysis, metadata optimization (title, subtitle, description), and conversion rate planning. Use this resource when planning app launches or aiming to improve app store SEO and discoverability.

A comprehensive toolkit for App Store Optimization (ASO), designed to boost mobile app visibility and ranking on both Apple App Store and Google Play Store. This guide covers end-to-end strategies, including deep keyword research, competitor analysis, metadata optimization (title, subtitle, description), and conversion rate planning. Use this resource when planning app launches or aiming to improve app store SEO and discoverability.

The official SDK for interacting with Azure AI Search service using Python. It provides comprehensive functionality for advanced search retrieval, including full-text search, vector similarity search (HNSW), hybrid search, and semantic ranking. Use this tool to build sophisticated enterprise search applications that require deep content understanding and precise information retrieval.

Provides expert guidance on AI SEO, the practice of making content discoverable, extractable, and citable by modern AI systems, including Google AI Overviews, ChatGPT, Perplexity, and Gemini. This guide teaches users how to shift focus from traditional page ranking to achieving authoritative citations in AI-generated answers and summaries, maximizing visibility across diverse generative platforms.

Guide for automating Coinranking operations through Composio’s toolkit via Rube MCP, emphasizing tool discovery, connection checks, schema compliance, and multi-execution workflows for reliable task execution.

A sophisticated memory management system designed to recover, reconstruct, and maintain project context across complex, distributed, and multi-agent AI workflows. It specializes in advanced semantic memory rehydration, utilizing semantic vector search, relevance ranking, and conflict resolution to ensure seamless continuity and high fidelity of historical knowledge.

Provides targeted guidance for improving LCP, INP, and CLS to boost page experience and search rankings, with checklists, issue breakdowns, and actionable fixes for rendering and interaction bottlenecks.

A comprehensive guide to Generative Engine Optimization (GEO), shifting content strategy from traditional SEO (Google ranking) to maximizing citation rates within AI search platforms like ChatGPT, Claude, and Perplexity. Learn how to structure content, build authority, and incorporate schema to be the preferred source for large language models.

Designs and implements production-grade RAG systems with document chunking, embeddings, vector stores, hybrid search, reranking, and evaluation, ideal for knowledge-grounded AI apps that need semantic retrieval, similarity search, and context augmentation.